Semi-automated segmentation methods of SSTR PET for dosimetry prediction in refractory meningioma patients treated by SSTR-targeted peptide receptor radionuclide therapy.

Fiche publication

Date publication

mai 2023

Journal

European radiology

Auteurs

Membres identifiés du Cancéropôle Est :
Pr KARCHER Gilles , Pr MARIE Pierre-Yves , Pr TAILLANDIER Luc , Pr VERGER Antoine

Tous les auteurs :
Boursier C, Zaragori T, Bros M, Bordonne M, Melki S, Taillandier L, Blonski M, Roch V, Marie PY, Karcher G, Imbert L, Verger A

Lien Pubmed

https://www.ncbi.nlm.nih.gov/pubmed/37148355

Résumé

Tumor dosimetry with somatostatin receptor-targeted peptide receptor radionuclide therapy (SSTR-targeted PRRT) by Lu-DOTATATE may contribute to improved treatment monitoring of refractory meningioma. Accurate dosimetry requires reliable and reproducible pretherapeutic PET tumor segmentation which is not currently available. This study aims to propose semi-automated segmentation methods to determine metabolic tumor volume with pretherapeutic Ga-DOTATOC PET and evaluate SUV-derived values as predictive factors for tumor-absorbed dose.